EP3688676A4 - Mixture of generators model - Google Patents

Mixture of generators model Download PDF

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Publication number
EP3688676A4
EP3688676A4 EP18861571.0A EP18861571A EP3688676A4 EP 3688676 A4 EP3688676 A4 EP 3688676A4 EP 18861571 A EP18861571 A EP 18861571A EP 3688676 A4 EP3688676 A4 EP 3688676A4
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EP
European Patent Office
Prior art keywords
mixture
generators
model
generators model
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
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EP18861571.0A
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German (de)
French (fr)
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EP3688676A1 (en
Inventor
James K. Baker
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D5AI LLC
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D5AI LLC
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Publication of EP3688676A4 publication Critical patent/EP3688676A4/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F12/00—Accessing, addressing or allocating within memory systems or architectures
    • G06F12/02—Addressing or allocation; Relocation
    • G06F12/08—Addressing or allocation; Relocation in hierarchically structured memory systems, e.g. virtual memory systems
    • G06F12/0802—Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches
    • G06F12/0806—Multiuser, multiprocessor or multiprocessing cache systems
    • G06F12/0815—Cache consistency protocols
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
EP18861571.0A 2017-09-28 2018-09-14 Mixture of generators model Withdrawn EP3688676A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201762564754P 2017-09-28 2017-09-28
PCT/US2018/051069 WO2019067236A1 (en) 2017-09-28 2018-09-14 Mixture of generators model

Publications (2)

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EP3688676A1 EP3688676A1 (en) 2020-08-05
EP3688676A4 true EP3688676A4 (en) 2021-06-23

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Application Number Title Priority Date Filing Date
EP18861571.0A Withdrawn EP3688676A4 (en) 2017-09-28 2018-09-14 Mixture of generators model
EP18861823.5A Pending EP3688677A4 (en) 2017-09-28 2018-09-28 Multi-objective generators in deep learning
EP18862297.1A Withdrawn EP3688678A4 (en) 2017-09-28 2018-09-28 Aggressive development with cooperative generators

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EP18861823.5A Pending EP3688677A4 (en) 2017-09-28 2018-09-28 Multi-objective generators in deep learning
EP18862297.1A Withdrawn EP3688678A4 (en) 2017-09-28 2018-09-28 Aggressive development with cooperative generators

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US (11) US10679129B2 (en)
EP (3) EP3688676A4 (en)
CN (3) CN111226232B (en)
WO (3) WO2019067236A1 (en)

Families Citing this family (151)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB201718756D0 (en) * 2017-11-13 2017-12-27 Cambridge Bio-Augmentation Systems Ltd Neural interface
US10678244B2 (en) 2017-03-23 2020-06-09 Tesla, Inc. Data synthesis for autonomous control systems
CN110892417B (en) 2017-06-05 2024-02-20 D5Ai有限责任公司 Asynchronous agent with learning coaches and structurally modifying deep neural networks without degrading performance
CN110892477A (en) 2017-06-08 2020-03-17 D5Ai有限责任公司 Gradient direction data segmentation for neural networks
WO2019005611A1 (en) 2017-06-26 2019-01-03 D5Ai Llc Selective training for decorrelation of errors
WO2019005507A1 (en) 2017-06-27 2019-01-03 D5Ai Llc Aligned training of deep networks
US10671349B2 (en) 2017-07-24 2020-06-02 Tesla, Inc. Accelerated mathematical engine
US11409692B2 (en) 2017-07-24 2022-08-09 Tesla, Inc. Vector computational unit
US11157441B2 (en) 2017-07-24 2021-10-26 Tesla, Inc. Computational array microprocessor system using non-consecutive data formatting
US11893393B2 (en) 2017-07-24 2024-02-06 Tesla, Inc. Computational array microprocessor system with hardware arbiter managing memory requests
US11270188B2 (en) 2017-09-28 2022-03-08 D5Ai Llc Joint optimization of ensembles in deep learning
US10679129B2 (en) 2017-09-28 2020-06-09 D5Ai Llc Stochastic categorical autoencoder network
JP6886112B2 (en) * 2017-10-04 2021-06-16 富士通株式会社 Learning program, learning device and learning method
US11455168B1 (en) * 2017-10-19 2022-09-27 Pure Storage, Inc. Batch building for deep learning training workloads
US11861423B1 (en) 2017-10-19 2024-01-02 Pure Storage, Inc. Accelerating artificial intelligence (‘AI’) workflows
US10360214B2 (en) 2017-10-19 2019-07-23 Pure Storage, Inc. Ensuring reproducibility in an artificial intelligence infrastructure
US10671435B1 (en) 2017-10-19 2020-06-02 Pure Storage, Inc. Data transformation caching in an artificial intelligence infrastructure
US11494692B1 (en) 2018-03-26 2022-11-08 Pure Storage, Inc. Hyperscale artificial intelligence and machine learning infrastructure
US11263525B2 (en) 2017-10-26 2022-03-01 Nvidia Corporation Progressive modification of neural networks
US11250329B2 (en) * 2017-10-26 2022-02-15 Nvidia Corporation Progressive modification of generative adversarial neural networks
US11763159B2 (en) * 2018-01-29 2023-09-19 International Business Machines Corporation Mitigating false recognition of altered inputs in convolutional neural networks
EP3701351A4 (en) 2018-01-30 2021-01-27 D5Ai Llc Self-organizing partially ordered networks
US10832137B2 (en) 2018-01-30 2020-11-10 D5Ai Llc Merging multiple nodal networks
US11321612B2 (en) 2018-01-30 2022-05-03 D5Ai Llc Self-organizing partially ordered networks and soft-tying learned parameters, such as connection weights
US11561791B2 (en) 2018-02-01 2023-01-24 Tesla, Inc. Vector computational unit receiving data elements in parallel from a last row of a computational array
CN111727441A (en) * 2018-02-09 2020-09-29 渊慧科技有限公司 Neural network system implementing conditional neural processes for efficient learning
WO2019208564A1 (en) * 2018-04-26 2019-10-31 日本電信電話株式会社 Neural network learning device, neural network learning method, and program
JP7002404B2 (en) * 2018-05-15 2022-01-20 株式会社日立製作所 Neural network that discovers latent factors from data
US11151450B2 (en) * 2018-05-21 2021-10-19 Fair Isaac Corporation System and method for generating explainable latent features of machine learning models
US11797864B2 (en) * 2018-06-18 2023-10-24 Fotonation Limited Systems and methods for conditional generative models
US11215999B2 (en) 2018-06-20 2022-01-04 Tesla, Inc. Data pipeline and deep learning system for autonomous driving
WO2020005471A1 (en) 2018-06-29 2020-01-02 D5Ai Llc Using back propagation computation as data
WO2020009881A1 (en) 2018-07-03 2020-01-09 D5Ai Llc Analyzing and correcting vulnerabillites in neural networks
WO2020018279A1 (en) 2018-07-16 2020-01-23 D5Ai Llc Building ensembles for deep learning by parallel data splitting
US11361457B2 (en) 2018-07-20 2022-06-14 Tesla, Inc. Annotation cross-labeling for autonomous control systems
US11636333B2 (en) 2018-07-26 2023-04-25 Tesla, Inc. Optimizing neural network structures for embedded systems
US11468330B2 (en) * 2018-08-03 2022-10-11 Raytheon Company Artificial neural network growth
WO2020033645A1 (en) 2018-08-09 2020-02-13 D5Ai Llc Companion analysis network in deep learning
WO2020041026A1 (en) 2018-08-23 2020-02-27 D5Ai Llc Efficently building deep neural networks
WO2020046721A1 (en) 2018-08-27 2020-03-05 D5Ai Llc Building a deep neural network with diverse strata
WO2020046719A1 (en) 2018-08-31 2020-03-05 D5Ai Llc Self-supervised back propagation for deep learning
US11562231B2 (en) 2018-09-03 2023-01-24 Tesla, Inc. Neural networks for embedded devices
US11593641B2 (en) * 2018-09-19 2023-02-28 Tata Consultancy Services Limited Automatic generation of synthetic samples using dynamic deep autoencoders
US11151334B2 (en) * 2018-09-26 2021-10-19 Huawei Technologies Co., Ltd. Systems and methods for multilingual text generation field
IL305330A (en) 2018-10-11 2023-10-01 Tesla Inc Systems and methods for training machine models with augmented data
US20200125924A1 (en) * 2018-10-22 2020-04-23 Siemens Aktiengesellschaft Method and system for analyzing a neural network
US11196678B2 (en) 2018-10-25 2021-12-07 Tesla, Inc. QOS manager for system on a chip communications
JP2020086479A (en) * 2018-11-15 2020-06-04 株式会社日立製作所 Calculator, construction method of neural network, and calculator system
WO2020113237A1 (en) * 2018-11-30 2020-06-04 Caris Mpi, Inc. Next-generation molecular profiling
US11816585B2 (en) 2018-12-03 2023-11-14 Tesla, Inc. Machine learning models operating at different frequencies for autonomous vehicles
US11537811B2 (en) 2018-12-04 2022-12-27 Tesla, Inc. Enhanced object detection for autonomous vehicles based on field view
JP7400719B2 (en) * 2018-12-17 2023-12-19 ソニーグループ株式会社 Learning devices, identification devices and programs
US20200202622A1 (en) * 2018-12-19 2020-06-25 Nvidia Corporation Mesh reconstruction using data-driven priors
US11610117B2 (en) 2018-12-27 2023-03-21 Tesla, Inc. System and method for adapting a neural network model on a hardware platform
US11610098B2 (en) * 2018-12-27 2023-03-21 Paypal, Inc. Data augmentation in transaction classification using a neural network
US11928556B2 (en) * 2018-12-29 2024-03-12 International Business Machines Corporation Removing unnecessary history from reinforcement learning state
US11514330B2 (en) * 2019-01-14 2022-11-29 Cambia Health Solutions, Inc. Systems and methods for continual updating of response generation by an artificial intelligence chatbot
DE102019200565A1 (en) * 2019-01-17 2020-07-23 Robert Bosch Gmbh Device and method for classifying data, in particular for a controller area network or an automotive Ethernet network.
US10997461B2 (en) 2019-02-01 2021-05-04 Tesla, Inc. Generating ground truth for machine learning from time series elements
US11567514B2 (en) 2019-02-11 2023-01-31 Tesla, Inc. Autonomous and user controlled vehicle summon to a target
US10510002B1 (en) * 2019-02-14 2019-12-17 Capital One Services, Llc Stochastic gradient boosting for deep neural networks
US10956755B2 (en) 2019-02-19 2021-03-23 Tesla, Inc. Estimating object properties using visual image data
US11681945B2 (en) * 2019-03-11 2023-06-20 Cisco Technology, Inc. Distributed learning model for fog computing
US11704573B2 (en) * 2019-03-25 2023-07-18 Here Global B.V. Method, apparatus, and computer program product for identifying and compensating content contributors
DE102019206620A1 (en) * 2019-04-18 2020-10-22 Robert Bosch Gmbh Method, device and computer program for creating a neural network
US11900238B1 (en) * 2019-04-25 2024-02-13 Perceive Corporation Removing nodes from machine-trained network based on introduction of probabilistic noise during training
US11531879B1 (en) 2019-04-25 2022-12-20 Perceive Corporation Iterative transfer of machine-trained network inputs from validation set to training set
CN110084863B (en) * 2019-04-25 2020-12-25 中山大学 Multi-domain image conversion method and system based on generation countermeasure network
US11610154B1 (en) 2019-04-25 2023-03-21 Perceive Corporation Preventing overfitting of hyperparameters during training of network
US11175959B2 (en) * 2019-05-01 2021-11-16 International Business Machines Corporation Determine a load balancing mechanism for allocation of shared resources in a storage system by training a machine learning module based on number of I/O operations
US11175958B2 (en) 2019-05-01 2021-11-16 International Business Machines Corporation Determine a load balancing mechanism for allocation of shared resources in a storage system using a machine learning module based on number of I/O operations
CN110096810B (en) * 2019-05-05 2020-03-17 中南大学 Industrial process soft measurement method based on layer-by-layer data expansion deep learning
JP7202260B2 (en) * 2019-06-07 2023-01-11 株式会社日立製作所 HYPER-PARAMETER MANAGEMENT DEVICE, HYPER-PARAMETER MANAGEMENT SYSTEM AND HYPER-PARAMETER MANAGEMENT METHOD
CN110113057B (en) * 2019-06-12 2023-06-13 中国计量大学 Polarization code decoder utilizing deep learning
JP7328799B2 (en) * 2019-06-12 2023-08-17 株式会社日立製作所 Storage system and storage control method
JP7116711B2 (en) * 2019-06-14 2022-08-10 株式会社東芝 Information processing device, information processing method, and computer program
US11514311B2 (en) * 2019-07-03 2022-11-29 International Business Machines Corporation Automated data slicing based on an artificial neural network
EP3767533A1 (en) * 2019-07-17 2021-01-20 Robert Bosch GmbH A machine learnable system with normalizing flow
JP7222429B2 (en) * 2019-07-30 2023-02-15 日本電信電話株式会社 Data selection method, data selection device and program
US11443137B2 (en) 2019-07-31 2022-09-13 Rohde & Schwarz Gmbh & Co. Kg Method and apparatus for detecting signal features
US11836624B2 (en) * 2019-08-26 2023-12-05 D5Ai Llc Deep learning with judgment
JP7226568B2 (en) * 2019-09-02 2023-02-21 日本電信電話株式会社 Neural network learning device, neural network learning method, program
EP3789924A1 (en) * 2019-09-09 2021-03-10 Robert Bosch GmbH Stochastic data augmentation for machine learning
JP7392366B2 (en) * 2019-10-01 2023-12-06 富士通株式会社 Optimal solution acquisition program, optimal solution acquisition method, and information processing device
US11586912B2 (en) * 2019-10-18 2023-02-21 International Business Machines Corporation Integrated noise generation for adversarial training
EP3816864A1 (en) * 2019-10-28 2021-05-05 Robert Bosch GmbH Device and method for the generation of synthetic data in generative networks
CN111008277B (en) * 2019-10-30 2020-11-03 创意信息技术股份有限公司 Automatic text summarization method
WO2020035085A2 (en) * 2019-10-31 2020-02-20 Alipay (Hangzhou) Information Technology Co., Ltd. System and method for determining voice characteristics
US20210150306A1 (en) * 2019-11-14 2021-05-20 Qualcomm Incorporated Phase selective convolution with dynamic weight selection
US11710046B2 (en) * 2019-11-29 2023-07-25 42Maru Inc. Method and apparatus for generating Q and A model by using adversarial learning
EP4069865A4 (en) 2019-12-02 2023-12-20 Caris MPI, Inc. Pan-cancer platinum response predictor
US11727284B2 (en) 2019-12-12 2023-08-15 Business Objects Software Ltd Interpretation of machine learning results using feature analysis
US20210192376A1 (en) * 2019-12-23 2021-06-24 Sap Se Automated, progressive explanations of machine learning results
CN111104997B (en) * 2019-12-25 2023-05-23 青岛创新奇智科技集团股份有限公司 Commodity two-dimensional code generation method and system based on deep learning
CN113093967A (en) 2020-01-08 2021-07-09 富泰华工业（深圳）有限公司 Data generation method, data generation device, computer device, and storage medium
US11163592B2 (en) * 2020-01-10 2021-11-02 International Business Machines Corporation Generation of benchmarks of applications based on performance traces
US11138094B2 (en) 2020-01-10 2021-10-05 International Business Machines Corporation Creation of minimal working examples and environments for troubleshooting code issues
CN111131658B (en) * 2020-01-19 2021-08-24 中国科学技术大学 Image steganography method, device, electronic equipment and medium
US11675879B2 (en) * 2020-02-20 2023-06-13 K2Ai, LLC Apparatus and method for operating a detection and response system
US11776679B2 (en) * 2020-03-10 2023-10-03 The Board Of Trustees Of The Leland Stanford Junior University Methods for risk map prediction in AI-based MRI reconstruction
TWI714480B (en) * 2020-03-19 2020-12-21 索爾智慧機械有限公司 Data display method of pull cap installation tool test instrument
US11741340B2 (en) 2020-03-23 2023-08-29 D5Ai Llc Data-dependent node-to-node knowledge sharing by regularization in deep learning
US11494496B2 (en) * 2020-03-30 2022-11-08 International Business Machines Corporation Measuring overfitting of machine learning computer model and susceptibility to security threats
US11580455B2 (en) 2020-04-01 2023-02-14 Sap Se Facilitating machine learning configuration
US11514318B2 (en) * 2020-04-08 2022-11-29 International Business Machines Corporation Multi-source transfer learning from pre-trained networks
CN111242948B (en) * 2020-04-29 2020-09-01 腾讯科技（深圳）有限公司 Image processing method, image processing device, model training method, model training device, image processing equipment and storage medium
US11651225B2 (en) * 2020-05-05 2023-05-16 Mitsubishi Electric Research Laboratories, Inc. Non-uniform regularization in artificial neural networks for adaptable scaling
US20210406693A1 (en) * 2020-06-25 2021-12-30 Nxp B.V. Data sample analysis in a dataset for a machine learning model
US20220035334A1 (en) * 2020-07-29 2022-02-03 Abb Schweiz Ag Technologies for producing training data for identifying degradation of physical components
US20220043681A1 (en) * 2020-08-04 2022-02-10 Oracle International Corporation Memory usage prediction for machine learning and deep learning models
US11909482B2 (en) * 2020-08-18 2024-02-20 Qualcomm Incorporated Federated learning for client-specific neural network parameter generation for wireless communication
EP3958182A1 (en) * 2020-08-20 2022-02-23 Dassault Systèmes Variational auto-encoder for outputting a 3d model
US11836600B2 (en) 2020-08-20 2023-12-05 D5Ai Llc Targeted incremental growth with continual learning in deep neural networks
TWI810487B (en) * 2020-09-25 2023-08-01 國立成功大學 Solar power forecasting method
KR20220046324A (en) 2020-10-07 2022-04-14 삼성전자주식회사 Training method for inference using artificial neural network, inference method using artificial neural network, and inference apparatus thereof
US20220108434A1 (en) * 2020-10-07 2022-04-07 National Technology & Engineering Solutions Of Sandia, Llc Deep learning for defect detection in high-reliability components
US11580396B2 (en) 2020-10-13 2023-02-14 Aira Technologies, Inc. Systems and methods for artificial intelligence discovered codes
US11615782B2 (en) * 2020-11-12 2023-03-28 Sony Interactive Entertainment Inc. Semi-sorted batching with variable length input for efficient training
US11818147B2 (en) * 2020-11-23 2023-11-14 Fair Isaac Corporation Overly optimistic data patterns and learned adversarial latent features
US20220180254A1 (en) * 2020-12-08 2022-06-09 International Business Machines Corporation Learning robust predictors using game theory
CN112417895A (en) * 2020-12-15 2021-02-26 广州博冠信息科技有限公司 Bullet screen data processing method, device, equipment and storage medium
US11088784B1 (en) 2020-12-24 2021-08-10 Aira Technologies, Inc. Systems and methods for utilizing dynamic codes with neural networks
US11483109B2 (en) 2020-12-28 2022-10-25 Aira Technologies, Inc. Systems and methods for multi-device communication
US11368251B1 (en) 2020-12-28 2022-06-21 Aira Technologies, Inc. Convergent multi-bit feedback system
US11477308B2 (en) 2020-12-28 2022-10-18 Aira Technologies, Inc. Adaptive payload extraction in wireless communications involving multi-access address packets
US11191049B1 (en) 2020-12-28 2021-11-30 Aira Technologies, Inc. Systems and methods for improving wireless performance
US11575469B2 (en) 2020-12-28 2023-02-07 Aira Technologies, Inc. Multi-bit feedback protocol systems and methods
CN112685314A (en) * 2021-01-05 2021-04-20 广州知图科技有限公司 JavaScript engine security test method and test system
US20220253990A1 (en) * 2021-02-10 2022-08-11 Adobe Inc. Media enhancement using discriminative and generative models with feedback
US20220291955A1 (en) 2021-03-09 2022-09-15 Intel Corporation Asynchronous input dependency resolution mechanism
US11496242B2 (en) 2021-03-15 2022-11-08 Aira Technologies, Inc. Fast cyclic redundancy check: utilizing linearity of cyclic redundancy check for accelerating correction of corrupted network packets
US11489623B2 (en) * 2021-03-15 2022-11-01 Aira Technologies, Inc. Error correction in network packets
CN113095377A (en) * 2021-03-26 2021-07-09 中国科学院电工研究所 Dangerous driving scene data random generation method and system
TWI769820B (en) * 2021-05-19 2022-07-01 鴻海精密工業股份有限公司 Method for optimizing the generative adversarial network and electronic equipment
DE112021007327T5 (en) * 2021-05-31 2024-02-22 Robert Bosch Gesellschaft mit beschränkter Haftung METHOD AND APPARATUS FOR TRAINING A NEURONAL NETWORK TO IMIMATE THE BEHAVIOR OF A DEMONSTRATOR
US11675817B1 (en) 2021-06-22 2023-06-13 Wells Fargo Bank, N.A. Synthetic data generation
US20220414447A1 (en) * 2021-06-24 2022-12-29 Paypal, Inc. Implicit curriculum learning
WO2023283501A1 (en) * 2021-07-06 2023-01-12 PAIGE.AI, Inc. Systems and methods to process electronic images for synthetic image generation
US11797425B2 (en) * 2021-07-09 2023-10-24 International Business Machines Corporation Data augmentation based on failure cases
DE102021208726A1 (en) 2021-08-10 2023-02-16 Robert Bosch Gesellschaft mit beschränkter Haftung Training a generator for synthetic measurement data with augmented training data
TWI780940B (en) * 2021-10-04 2022-10-11 國立中央大學 Task-oriented denoising system and method based on deep learning
WO2023100190A1 (en) * 2021-12-02 2023-06-08 Telefonaktiebolaget Lm Ericsson (Publ) First node, second node and methods performed thereby for handling data augmentation
US20230177110A1 (en) * 2021-12-03 2023-06-08 International Business Machines Corporation Generating task-specific training data
US11948064B2 (en) 2021-12-08 2024-04-02 Visa International Service Association System, method, and computer program product for cleaning noisy data from unlabeled datasets using autoencoders
US20230289658A1 (en) * 2022-01-14 2023-09-14 Home Depot Product Authority, Llc Incremental machine learning training
WO2023192766A1 (en) * 2022-03-31 2023-10-05 D5Ai Llc Generation and discrimination training as a variable resolution game
EP4276724A1 (en) * 2022-05-09 2023-11-15 RTL Deutschland GmbH Automatic prediction of effects of a media object
WO2024044704A1 (en) * 2022-08-25 2024-02-29 Sabic Global Technologies B.V. Systems and methods for generating training data
US11615316B1 (en) * 2022-09-19 2023-03-28 Rain Neuromorphics Inc. Machine learning using gradient estimate determined using improved perturbations
US11822908B1 (en) * 2023-02-10 2023-11-21 CuraeChoice, Inc. Extensible compilation using composite programming for hardware
CN116807479B (en) * 2023-08-28 2023-11-10 成都信息工程大学 Driving attention detection method based on multi-mode deep neural network

Family Cites Families (76)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5131055A (en) * 1990-02-16 1992-07-14 The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration Auto and hetero-associative memory using a 2-D optical logic gate
US5959574A (en) 1993-12-21 1999-09-28 Colorado State University Research Foundation Method and system for tracking multiple regional objects by multi-dimensional relaxation
US6324532B1 (en) * 1997-02-07 2001-11-27 Sarnoff Corporation Method and apparatus for training a neural network to detect objects in an image
US6128606A (en) 1997-03-11 2000-10-03 At&T Corporation Module for constructing trainable modular network in which each module inputs and outputs data structured as a graph
US7318051B2 (en) 2001-05-18 2008-01-08 Health Discovery Corporation Methods for feature selection in a learning machine
US7054847B2 (en) * 2001-09-05 2006-05-30 Pavilion Technologies, Inc. System and method for on-line training of a support vector machine
US7609608B2 (en) * 2001-09-26 2009-10-27 General Atomics Method and apparatus for data transfer using a time division multiple frequency scheme with additional modulation
US20040010480A1 (en) * 2002-07-09 2004-01-15 Lalitha Agnihotri Method, apparatus, and program for evolving neural network architectures to detect content in media information
US20040042650A1 (en) 2002-08-30 2004-03-04 Lockheed Martin Corporation Binary optical neural network classifiers for pattern recognition
KR100506095B1 (en) * 2003-11-17 2005-08-03 삼성전자주식회사 Method and apparatus of landmark detection in intelligent system
US7587064B2 (en) 2004-02-03 2009-09-08 Hrl Laboratories, Llc Active learning system for object fingerprinting
US20070289013A1 (en) * 2006-06-08 2007-12-13 Keng Leng Albert Lim Method and system for anomaly detection using a collective set of unsupervised machine-learning algorithms
WO2008063598A2 (en) * 2006-11-17 2008-05-29 Honda Motor Co., Ltd. Fully bayesian linear regression
CA2638465A1 (en) * 2007-08-01 2009-02-01 Jean-Yves Chouinard Learning filters for enhancing the quality of block coded still and video images
US20100324708A1 (en) * 2007-11-27 2010-12-23 Nokia Corporation encoder
AU2010308329B2 (en) * 2009-10-19 2016-10-13 Labrador Diagnostics Llc Integrated health data capture and analysis system
US8655109B2 (en) * 2011-08-05 2014-02-18 Adobe Systems Incorporated Regression-based learning model for image upscaling
US8484022B1 (en) * 2012-07-27 2013-07-09 Google Inc. Adaptive auto-encoders
US8527276B1 (en) 2012-10-25 2013-09-03 Google Inc. Speech synthesis using deep neural networks
US20140358828A1 (en) 2013-05-29 2014-12-04 Purepredictive, Inc. Machine learning generated action plan
US10459117B2 (en) * 2013-06-03 2019-10-29 Exxonmobil Upstream Research Company Extended subspace method for cross-talk mitigation in multi-parameter inversion
US9247911B2 (en) 2013-07-10 2016-02-02 Alivecor, Inc. Devices and methods for real-time denoising of electrocardiograms
US9753796B2 (en) * 2013-12-06 2017-09-05 Lookout, Inc. Distributed monitoring, evaluation, and response for multiple devices
US20150228277A1 (en) * 2014-02-11 2015-08-13 Malaspina Labs (Barbados), Inc. Voiced Sound Pattern Detection
WO2015175806A1 (en) * 2014-05-16 2015-11-19 The Trustees Of The University Of Pennsylvania Applications of automatic anatomy recognition in medical tomographic imagery based on fuzzy anatomy models
WO2016037300A1 (en) * 2014-09-10 2016-03-17 Xiaoou Tang Method and system for multi-class object detection
US10832138B2 (en) * 2014-11-27 2020-11-10 Samsung Electronics Co., Ltd. Method and apparatus for extending neural network
US10275719B2 (en) 2015-01-29 2019-04-30 Qualcomm Incorporated Hyper-parameter selection for deep convolutional networks
US9576250B2 (en) 2015-02-24 2017-02-21 Xerox Corporation Method and system for simulating users in the context of a parking lot based on the automatic learning of a user choice decision function from historical data considering multiple user behavior profiles
US10410118B2 (en) 2015-03-13 2019-09-10 Deep Genomics Incorporated System and method for training neural networks
US20160277767A1 (en) * 2015-03-16 2016-09-22 Thomson Licensing Methods, systems and apparatus for determining prediction adjustment factors
US20160321523A1 (en) 2015-04-30 2016-11-03 The Regents Of The University Of California Using machine learning to filter monte carlo noise from images
US10565518B2 (en) 2015-06-23 2020-02-18 Adobe Inc. Collaborative feature learning from social media
US10552730B2 (en) 2015-06-30 2020-02-04 Adobe Inc. Procedural modeling using autoencoder neural networks
US9699205B2 (en) * 2015-08-31 2017-07-04 Splunk Inc. Network security system
US10521902B2 (en) * 2015-10-14 2019-12-31 The Regents Of The University Of California Automated segmentation of organ chambers using deep learning methods from medical imaging
US10776712B2 (en) * 2015-12-02 2020-09-15 Preferred Networks, Inc. Generative machine learning systems for drug design
US11170294B2 (en) * 2016-01-07 2021-11-09 Intel Corporation Hardware accelerated machine learning
US10043243B2 (en) 2016-01-22 2018-08-07 Siemens Healthcare Gmbh Deep unfolding algorithm for efficient image denoising under varying noise conditions
US10671938B2 (en) * 2016-01-27 2020-06-02 Bonsai AI, Inc. Artificial intelligence engine configured to work with a pedagogical programming language to train one or more trained artificial intelligence models
US11087234B2 (en) * 2016-01-29 2021-08-10 Verizon Media Inc. Method and system for distributed deep machine learning
US10176799B2 (en) * 2016-02-02 2019-01-08 Mitsubishi Electric Research Laboratories, Inc. Method and system for training language models to reduce recognition errors
US10089717B2 (en) * 2016-04-05 2018-10-02 Flipboard, Inc. Image scaling using a convolutional neural network
US20170328194A1 (en) 2016-04-25 2017-11-16 University Of Southern California Autoencoder-derived features as inputs to classification algorithms for predicting failures
CN109328362B (en) * 2016-05-20 2024-01-05 渊慧科技有限公司 Progressive neural network
US10043252B2 (en) * 2016-06-14 2018-08-07 Intel Corporation Adaptive filtering with weight analysis
US10387765B2 (en) * 2016-06-23 2019-08-20 Siemens Healthcare Gmbh Image correction using a deep generative machine-learning model
US20180024968A1 (en) 2016-07-22 2018-01-25 Xerox Corporation System and method for domain adaptation using marginalized stacked denoising autoencoders with domain prediction regularization
US10504004B2 (en) * 2016-09-16 2019-12-10 General Dynamics Mission Systems, Inc. Systems and methods for deep model translation generation
US11210589B2 (en) 2016-09-28 2021-12-28 D5Ai Llc Learning coach for machine learning system
US10096088B2 (en) * 2016-09-28 2018-10-09 Disney Enterprises, Inc. Robust regression method for image-space denoising
US11205103B2 (en) 2016-12-09 2021-12-21 The Research Foundation for the State University Semisupervised autoencoder for sentiment analysis
US10621586B2 (en) * 2017-01-31 2020-04-14 Paypal, Inc. Fraud prediction based on partial usage data
US20180218256A1 (en) * 2017-02-02 2018-08-02 Qualcomm Incorporated Deep convolution neural network behavior generator
EP3602316A4 (en) 2017-03-24 2020-12-30 D5A1 Llc Learning coach for machine learning system
US10489887B2 (en) * 2017-04-10 2019-11-26 Samsung Electronics Co., Ltd. System and method for deep learning image super resolution
WO2018194960A1 (en) 2017-04-18 2018-10-25 D5Ai Llc Multi-stage machine learning and recognition
US20180342045A1 (en) * 2017-05-26 2018-11-29 Microsoft Technology Licensing, Llc Image resolution enhancement using machine learning
CN110892417B (en) 2017-06-05 2024-02-20 D5Ai有限责任公司 Asynchronous agent with learning coaches and structurally modifying deep neural networks without degrading performance
CN110892477A (en) 2017-06-08 2020-03-17 D5Ai有限责任公司 Gradient direction data segmentation for neural networks
WO2018231708A2 (en) 2017-06-12 2018-12-20 D5Ai Llc Robust anti-adversarial machine learning
WO2019005611A1 (en) 2017-06-26 2019-01-03 D5Ai Llc Selective training for decorrelation of errors
WO2019005507A1 (en) 2017-06-27 2019-01-03 D5Ai Llc Aligned training of deep networks
US11403531B2 (en) * 2017-07-19 2022-08-02 Disney Enterprises, Inc. Factorized variational autoencoders
WO2019067831A1 (en) 2017-09-28 2019-04-04 D5Ai Llc Multi-objective generators in deep learning
US11270188B2 (en) 2017-09-28 2022-03-08 D5Ai Llc Joint optimization of ensembles in deep learning
US10679129B2 (en) 2017-09-28 2020-06-09 D5Ai Llc Stochastic categorical autoencoder network
WO2019067960A1 (en) 2017-09-28 2019-04-04 D5Ai Llc Aggressive development with cooperative generators
US10592779B2 (en) 2017-12-21 2020-03-17 International Business Machines Corporation Generative adversarial network medical image generation for training of a classifier
US10540578B2 (en) 2017-12-21 2020-01-21 International Business Machines Corporation Adapting a generative adversarial network to new data sources for image classification
US11138731B2 (en) * 2018-05-30 2021-10-05 Siemens Healthcare Gmbh Methods for generating synthetic training data and for training deep learning algorithms for tumor lesion characterization, method and system for tumor lesion characterization, computer program and electronically readable storage medium
US10692019B2 (en) * 2018-07-06 2020-06-23 Capital One Services, Llc Failure feedback system for enhancing machine learning accuracy by synthetic data generation
EP3624021A1 (en) * 2018-09-17 2020-03-18 Robert Bosch GmbH Device and method for training an augmented discriminator
US20200090000A1 (en) * 2018-09-18 2020-03-19 Microsoft Technology Licensing, Llc Progress Portal for Synthetic Data Tasks
US11593641B2 (en) * 2018-09-19 2023-02-28 Tata Consultancy Services Limited Automatic generation of synthetic samples using dynamic deep autoencoders
US11366982B2 (en) 2018-09-24 2022-06-21 Sap Se Computer systems for detecting training data usage in generative models

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JIANMIN BAO ET AL: "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 29 March 2017 (2017-03-29), XP080752999, DOI: 10.1109/ICCV.2017.299 *
OWHADI-KARESHK MOEIN ET AL: "Representation learning by Denoising Autoencoders for Clustering-based Classification", 2015 5TH INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE), IEEE, 29 October 2015 (2015-10-29), pages 228 - 233, XP032838368, DOI: 10.1109/ICCKE.2015.7365832 *

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